Abstract
Pirfenidone (PFD) is a synthetic small molecule inhibitor with demonstrated anti-inflammatory and antifibrotic properties in vitro and in vivo. The exact mechanism(s) of PFD action remain unclear, due in part to the broad effects of this drug on the complex processes involved in inflammation and fibrosis. While PFD is FDA-approved for the treatment of idiopathic pulmonary fibrosis, the efficacy of this compound for the treatment of dermal fibrosis has not yet been fully characterized. Dermal fibrosis is the pathological formation of excess fibrous connective tissue of the skin, usually the result of traumatic cutaneous injury. Fibroproliferative scarring, caused by delayed wound healing and prolonged inflammation, remains a major clinical concern with considerable morbidity. Despite efforts to identify a therapeutic that targets the fibrotic pathways involved in wound healing to mitigate scar formation, no satisfactory dermal antifibrotic has yet been identified. We aim to better elucidate the antifibrotic mechanism(s) of PFD activity using an in vitro model of dermal fibrosis. Briefly, cultured human dermal fibroblasts were stimulated with TGF-β1 to induce differentiation into profibrotic myofibroblast cells. A dose-dependent reduction in cellular proliferation and migration was observed in TGF-β1-stimulated cells when treated with PFD. We observed a clear inhibition in the development of essential myofibroblast mechanoregulatory machinery, including contractile F-actin stress fibers containing α-SMA and large super-mature focal adhesions. PFD treatment significantly reduced protein levels of major ECM components type I and type III collagen. PFD targeted the p38 MAPK signaling pathway and mitigated profibrotic gene expression profiles. This in vitro data promotes PFD as a potential therapeutic agent for the treatment of dermal fibrosis.
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Introduction
Fibroproliferative disorders of the skin, such as hypertrophic scarring (HTS), are characterized by dysregulated collagen production and result in raised, thick, and inflexible scars [1,2,3]. HTS occurs most commonly after burn injury, surgery, or excessive inflammation and can dramatically diminish patient quality of life [1, 3,4,5]. HTS contractures and rigidity can limit range of motion and impair day-to-day activities. Available anti-scarring therapies such as surgical management, vascular laser treatment, and pressure therapy, have limited efficacy on the final scar outcome [6, 7].
To identify antifibrotic therapeutics, research has focused on targeting myofibroblasts, the cellular mediators of fibrosis. In the wound bed, transforming growth factor-beta 1 (TGF-β1) is present at elevated levels and drives a shift in the phenotype of fibroblasts to hyper extracellular matrix (ECM)-producing myofibroblasts [1, 8,9,10,11,12]. Myofibroblasts also express the α-smooth muscle isoform of actin (α-SMA) that associates with F-actin stress fibers and augments cell contractile properties [13, 14]. Enlarged focal adhesion complexes in myofibroblasts anchor the contractile stress fibers to the surrounding ECM and mediate the matrix contraction that increases mechanical tension in wound-adjacent tissue [15].
Myofibroblasts also mediate fibrosis through collagen production. Collagen type I and collagen type III are the major collagen isoforms present in the skin, comprising 80–85% and 10–15% of the total collagen content, respectively [16]. Overall collagen I and III production is increased significantly in fibrotic disorders of the skin, such as scarring and keloid progression [17,18,19]. Although the quantity of collagen I is consistently greater than collagen III throughout the remodeling phase of wound healing, collagen III production initially increases relative to collagen I [17, 18, 20]. The ratio of collagen I/collagen III shifts over time with scar maturation. Excessive collagen production and decreased collagen I/III ratio contributes to abnormal crosslinking and disorganized fiber bundle orientation associated with fibrotic scarring [17,18,19,20].
TGF-β1 exerts its profibrotic effects on fibroblasts through both canonical SMAD-mediated and non-canonical SMAD-independent signaling pathways [21]. Consequently, many antifibrotic therapies target TGF-β signaling and modulate profibrotic mediators. One promising candidate is the small molecule inhibitor pirfenidone (PFD). Pirfenidone (5-methyl-1-phenyl-2-(1H)-pyridone) is FDA-approved for the treatment of idiopathic pulmonary fibrosis and exerts anti-inflammatory and antifibrotic effects in a variety of in vitro and in vivo models of fibrotic disease [22]. While the exact mechanism(s) of PFD remain unknown, previous studies demonstrated its effectiveness at mitigating myofibroblast differentiation, proliferation, and profibrotic cytokine production in both in vitro and in vivo models of lung, liver, and renal fibrosis [22, 23]. The potential of PFD as a topical therapeutic agent for use during wound healing [24, 25] or following HTS development [26] has been suggested, however the mechanism by which PFD exerts its antifibrotic properties on dermal cells has not been fully described [24,25,26,27,28].
In this paper, we investigated the effects of PFD on TGF-β1-stimulated dermal fibroblasts. PFD treatment significantly reduced cellular proliferation, migration, and myofibroblast differentiation. Specifically, PFD reduced the development of F-actin stress fibers, super-mature focal adhesions, de novo α-SMA expression, and collagen production. PFD targeted TGF-β1 signaling, reducing p38 MAPK activation and regulating transcription of fibrosis-associated genes.
Materials and methods
Cell culture and treatments
Adult normal human dermal fibroblast cells (NHDF) were isolated from the breast skin of a female 41-year-old by PromoCell (Heidelberg, Germany). NHDF were cultured in fibroblast growth media-2 (FGM2; Lonza, Rockland, ME, USA) supplemented with 1% penicillin-streptomycin (Gibco Life Technologies, Carlsbad, CA, USA) and maintained at 37 °C with 5% CO2. All experiments were performed using cells cultured within ten passages. Cell cycles were synchronized for 24 h in serum-free media (SFM) supplemented with 1% penicillin-streptomycin prior to stimulation with TGF-β1 (R&D Systems, Minneapolis, MN, USA) in the presence or absence of PFD (Tocris Bioscience, Avonmouth, United Kingdom). Cells were stimulated with 10 ng/mL TGF-β1 alone or in the presence of PFD (0.0–3.0 mg/mL). A fresh PFD solution was prepared prior to each experiment where PFD was dissolved in SFM at 3 mg/mL, mixed by vortex, and warmed to 37 °C prior to use. Untreated serum-starved cells were grown in SFM and assayed at the same time to serve as controls.
Cytotoxicity assay
NHDF cells were seeded at a density of 104 cells/well in Falcon 96-well tissue culture microplates (Corning Incorporated—Life Sciences, Durham, NC, USA). In order to establish a non-toxic PFD dosage, quiescent cells were stimulated in triplicate with TGF-β1 alone or in the presence of PFD (0.0–3.0 mg/mL) for 48 h. Cells were pulsed with 100 μL Caspase-Glo 3/7 reagent (Promega, Madison, WI, USA) and incubated at 37 °C for 30 min. Luminescence was measured using the BioTek Synergy H1 microplate reader (BioTek, Winooski, VT, USA) as an indicator of apoptosis.
Cell proliferation assay
Cell growth was measured using the WST-1 cell proliferation assay kit (Cayman Chemical, Ann Arbor, MI, USA). Briefly, cells were seeded as in the cytotoxicity assay in 100 μL per well of 96-well tissue culture microplates (Corning Incorporated—Life Sciences). Quiescent cells were treated with PFD (0.0–1.0 mg/mL) either 24 h prior to, concurrent with, or 24 h following TGF-β1 stimulation. NHDF were pulsed with 10 μL/well WST-1 reagent and incubated at 37 °C for two hours. Absorbance at 450 nm was measured over the course of four days as an indicator of proliferation.
Cell attachment and migration assay via electric cell-substrate impedance sensing (ECIS)
Cell attachment and migration behavior was assayed in 96W1E + microplates via the ECIS-Z system (Applied Biophysics, Troy, NY, USA). Cells covering the 350 µm diameter gold-plated electrodes cause impedance to a small 1 µA alternating current. This impedance is measured as output at 24 kHz and is proportional to electrode coverage. Prior to cell seeding, the electrodes were cleaned with 10 mM l-cysteine (Sigma, St. Louis, MO, USA) and coated with rat-tail collagen I (200 µg/mL in 0.15 M NaCl, BD Biosciences, San Jose, CA, USA). A media-alone baseline impedance was recorded for each well. To achieve a confluent monolayer of cells, NHDF were seeded at a density of 1.6 × 104 cells/well. ECIS measurements confirmed cell attachment and after 3–4 h, media was replaced with SFM. After 18 h in SFM, select wells received a 20 s pulse at 2500 µA, killing cells in contact with the electrode and creating a 2D “wound.” After wounding, half of the media was replaced with a 2 × solution of treatment (TGF-β1 alone or in the presence of PFD at 0.1, 0.5, or 1.0 mg/mL) administered in quadruplicate wells. Impedance was recorded over the course of four days and analyzed using Excel (Microsoft Office 2010). To create a normalized impedance measurement where “0” represents the impedance of media-alone (no live cells on the electrode) and “1” represents a confluent monolayer of cells, first the baseline impedance measured before seeding cells was subtracted from all impedance measurements. Next, the pre-wound impedance level was determined for each well by averaging the last hour of impedance measurements before the wound. Baseline-subtracted impedance was divided by this pre-wound impedance and the resulting normalized impedance was used for all subsequent analysis. The maximum normalized recovery and the time to reach 0.5 normalized recovery was determined for each well.
Immunocytochemistry and confocal imaging
Unless otherwise specified, all immunocytochemistry reagents were acquired from ThermoFisher Scientific. NHDF were seeded at a density of 2 × 103 cells/well into eight-well Nunc Lab-Tek chambered slides. Cells were treated with TGF-β1 alone or in the presence of PFD (0.1, 0.5, or 1.0 mg/mL) and fixed before treatment (t0) or one to four days after treatment. Cells were fixed for 20 min in 4% paraformaldehyde then stored at 4 °C in phosphate-buffered saline (PBS) until staining. Prior to permeabilization, cell membranes were stained with Alexa Fluor 488-tagged wheat germ agglutinin (WGA, 1:200). Cells were permeabilized for 10 min in 0.1% Triton X-100 (Sigma) and blocked for 1 h with 5% normal goat serum in 0.1% Tween 20 (Sigma) in PBS. Slides were incubated with primary antibody for α-SMA, collagen I, collagen III, or vinculin in blocking solution for 1 h at room temperature (see Table 1 for manufacturer, dilution). Secondary antibody (Alexa Fluor 568-tagged IgG (H + L) goat anti-mouse or goat anti-rabbit, 1:1000), F-actin label (Alexa Fluor 647 phalloidin, 1:40), and DNA label (Hoechst 33342, 1:2000) were diluted in blocking solution and incubated on slides for 1 h at room temperature. Confocal images were acquired with the same laser power, gain, and digital offset for all slides from an individual experiment. Multiple z-planes were acquired with either a Plan-Apochromat 10×, 0.45 NA (F-actin, α-SMA, collagen, z-distance 3.13 μm) or an LD C-Apochromat 40×, 1.1 NA (vinculin, z-distance 0.5 μm) objective on a Zeiss 710 confocal microscope (Zeiss, Thornwood, NY, USA). Maximum projection images created in ImageJ (National Institutes of Health, Bethesda, MD, USA) combined data from multiple z-planes and were used for figure creation and subsequent analysis.
Image analysis
To quantify α-SMA, F-actin, and collagen from confocal images, analysis routines were optimized for each labeled protein. In images of α-SMA labeled cells, many cells did not express α-SMA and had no above-background signal to capture. Thus, an additional membrane stain (WGA) was used to define the cell boundaries. A cell was determined α-SMA+ by the mean α-SMA intensity within its cell boundaries, using cell measurements from visibly negative t0 SFM control cells as a cut-off. CellProfiler [29] software was used to define cell boundaries and measure the mean cell intensity of α-SMA (Broad Institute, Boston, MA, USA). Briefly, nuclei were identified via an automated threshold of the nuclear Hoechst image and the corresponding whole cell WGA stain image was segmented into individual cells. A watershed algorithm-based segmentation routine used nuclear regions as seeds, expanding them to encompass the entire cell. The sharp intensity gradient found at the cell edge determined where to end the cell boundary. Any errors in segmentation were corrected manually within the CellProfiler pipeline.
To quantify changes to F-actin accumulation with different treatments, phalloidin staining was included in the immunocytochemistry assays of α-SMA, collagen I, and collagen III. Phalloidin imaging data was compiled from seven independent experiments. In contrast to α-SMA, all NHDF cells imaged contained some level of measurable phalloidin signal. Thus, the mean intensity of fluorescent phalloidin per WGA cell region was used to compare relative F-actin abundance. Due to phalloidin signal variation between experiments, we normalized the mean cell intensity per image for each treatment/time to the mean cell intensity per image for time-matched control SFM samples. The SFM samples showed low levels of phalloidin staining in samples from all time points measured.
In images of NHDF labeled for collagen I or III, only intracellular collagen was detectible and was localized to the endoplasmic reticulum (ER)/Golgi compartment. This compartment varied in relative size and shape in each cell. Thus, a measure of collagen intensity using the whole cell as a region of interest would bias measurements for small cells with proportionally larger ER/Golgi compartments over larger cells with relatively smaller ER/Golgi compartments. To more accurately describe the relative level of intracellular collagen, an area of collagen protein localization was defined in each cell and used as the region of interest for mean collagen intensity per cell. Based on established image analysis techniques [30], a custom ImageJ macro was used to define these regions. The region of collagen localization in each cell was revealed by smoothing and background subtracting the original images. First, images were smoothed with a Gaussian (σ = 1) then median (radius = 2) filter. To generate a smoothed-background image the filtered image was additionally smoothed with a median filter (radius = 100). After subtracting the smoothed background from the smoothed image a threshold was applied that created a binary image containing individual regions of above-background collagen signal for each cell. The immunolabeled collagen fluorescent intensity from the original image was then measured in these regions. To observe changes in intracellular collagen levels over time and compare data across experiments, the mean cell intensity per image was calculated for each treatment/time and was normalized to the mean cell intensity per image for SFM samples fixed before treatment (t0).
Western blot analysis
NHDF cells were seeded at a density of 4.5 × 105 cells in Falcon 100 mm cell culture dishes (Corning Incorporated—Life Sciences) and grown to 70% confluence before 24 h serum starvation and subsequent treatment. Undiluted cell culture media was collected for quantification of soluble secreted collagen. NHDF were directly lysed on the culture plate in 400 μL Pierce RIPA buffer (ThermoScientific, Rockford, IL, USA) supplemented with Pierce protease inhibitors, EDTA-free (ThermoScientific). Plates were then scraped to collect a fraction containing whole cell lysate and adherent collagen. Samples were clarified by centrifugation at 14,000 rpm for 15 min at 4 °C. Protein concentration was quantified in culture media and lysates using the BCA assay (ThermoScientific). Immune detection of proteins extracted from cultured cells was performed using the Simple Wes capillary-based Western blot technology as described previously (Protein Simple, San Jose, CA, USA) [31,32,33,34]. Briefly, samples were adjusted to equivalent protein concentration using sample buffer (Protein Simple), four parts protein sample was combined with one part master mix (Protein Simple) containing fluorescent molecular weight markers and DTT (40 mM). Samples were heated at 95 °C for 8 min for detection of collagen or 5 min for detection of all other protein targets. Protein samples, primary antibodies (Table 1), biotinylated ladder and its corresponding secondary streptavidin-HRP conjugate, blocking reagent, HRP-conjugated secondary antibody, chemiluminescent substrate, and wash buffer (Protein Simple) were dispensed into prefilled microplates containing separation and stacking matrices. The assay plate was then loaded into the Wes instrument (Protein Simple) where the separation by electrophoresis and immunoblotting steps were performed using the automated capillary system. Protein quantification was performed using the Compass software for Simple Western (v3.0.9; Protein Simple).
Kinase signaling pathway array
NHDF cells were seeded at a density of 4.5 × 105 cells in Falcon 100 mm cell culture dishes (Corning Incorporated) as described for Western blot analysis. Antibody-based kinase signaling arrays were performed according to the manufacturer’s instructions for the PathScan Stress and Apoptosis Signaling Antibody Array Kit (Cell Signaling Technology, Danvers, MA, USA) and the Proteome Profiler Human Phospho-MAPK Array Kit (R&D Systems, Inc., Minneapolis, MN, USA). Briefly, cell lysates were prepared in lysis buffer supplemented with Pierce protease and phosphatase inhibitor mini tablets, EDTA-free (ThermoScientific). Phosphorylation events were determined by chemiluminescent reaction and quantified by densitometry using Image Lab software (v5.2.1; Bio-Rad Laboratories, Inc., Hercules, CA, USA). Detection of phosphorylated levels of p38 MAPK and SMAD2/3 was validated and quantified by Western blot as described above. Control cells were pre-treated with either the p38 inhibitor, (5Z)-7-oxozeaenol, or the TβRI/SMAD2 inhibitor, SB-505124, (Tocris, 10 μM).
Gene expression analysis
NHDF were seeded at a density of 4.65 × 105 cells in 100 mm cell culture dishes (Corning Incorporated) and grown for 24 h in FGM2 before serum starvation for 24 h in SFM. Cells were treated with TGF-β1 alone or in the presence of PFD (0.1 or 0.5 mg/mL) for 12, 24, 48 or 72 h before collecting cell pellets. Cells were gently removed from culture plates with 0.025% Trypsin/0.01% EDTA (TE, Gibco) and Defined Trypsin Inhibitor (DTI, Gibco), split into two aliquots, centrifuged at 500×g for 5 min at 4 °C, and snap frozen in liquid nitrogen. Cell pellets were stored at −80 °C until total RNA was isolated from one aliquot of pelleted cells, cDNA was synthesized, and quantitative real-time PCR (qRT-PCR) with 2.5 ng of cDNA per sample was run on Human Fibrosis RT2 Profiler PCR Arrays (Qiagen Genomic Service Core, Frederick, MD, USA). Results were normalized to the least variable housekeeping gene, RPLP0, and analyzed with Excel using the 2−ΔΔCT method [35].
To validate the array results, RNA was isolated from reserved aliquots of cells from above experiments. An RNeasy Plus Mini Kit (Qiagen, Valencia, CA, USA) was used according to the manufacturer’s protocol. A NanoDrop 2000 spectrophotometer (ThermoFisher Scientific) was used to measure RNA quality and quantity, and a 4200 TapeStation (Agilent Technologies, Santa Clara, CA, USA) was used to verify RNA integrity. An RT2 First Strand Kit (Qiagen) was used to synthesize cDNA, and the expression levels of select genes were detected by using the iQ SYBR Green Supermix (BioRad, Hercules, CA, USA) according to the manufacturer’s instructions on a StepOnePlus Real-Time PCR system (Applied Biosystems, Foster City, CA, USA). All data were normalized to RPLP0 and analyzed using the 2−ΔΔCT. Primers used are listed in Table 2.
Statistical analysis
For all time course experiments, time is given relative to TGF-β1 treatment, denoted t0 or time “0”. Data was graphed and analyzed for statistical significance using the GraphPad Prism v5.00 for Windows (GraphPad Software, San Diego, CA, USA). Statistical significance for cytotoxicity, proliferation, kinase phosphorylation, Western blot, and immunocytochemistry analysis was determined by two-way ANOVA with repeated measures using the Bonferroni post-test, where statistical significance was indicated by P < 0.05. The one-way ANOVA with Bonferroni post-test was used for all ECIS experiments and validation qRT-PCR data comparing ΔCt values of TGF-β1 alone with TGF-β1 + PFD treated samples from two independent experimental runs.
Results
PFD inhibits TGF-β1-induced proliferation
Cellular proliferation was measured by the colorimetric WST-1 assay in adult NHDF monolayers stimulated with TGF-β1 alone or in the presence of PFD (Fig. 1). TGF-β1 stimulated a statistically significant increase in cell proliferation by day 1, an effect that continued to increase over the course of four days (compare open circle traces, TGF-β1, to squares with dotted line, SFM control, Fig. 1). When given concurrent to TGF-β1, PFD significantly reduced the proliferative response in a dose-dependent manner. The highest dose of PFD, 1.0 mg/mL, decreased cell growth to levels similar to the quiescent SFM control (Fig. 1b). Pre-treatment with PFD 24 h before TGF-β1 stimulation also inhibited proliferation, although the inhibitory effects at the lowest dose (0.1 mg/mL) were slightly lessened. Cells treated with PFD 24 h after TGF-β1 stimulation showed a statistically significant reduction in proliferation at the two highest doses of PFD (0.5 and 1.0 mg/mL). However, the lowest dose (0.1 mg/mL) initially increased cell growth at day 2 and appeared to have no effect on TGF-β1-stimulated growth at later time points (Fig. 1c).
PFD inhibits myofibroblast differentiation
Using immunocytochemistry, we detected α-SMA+ cells after two days of TGF-β1 treatment and the percentage α-SMA+ cells increased from 30 to greater than 80% of imaged cells by day 4 (Fig. 2a, b). PFD treatment at 0.5 mg/mL delayed detectible myofibroblast transformation until day 3 and showed a significantly lower percentage of α-SMA+ cells at day 4. The lower 0.1 mg/mL dose of PFD slightly reduced the TGF-β1 effect at days 3 and 4 (Fig. 2a, b).
Western blot analysis of cell lysates confirmed these results. Cultures stimulated with TGF-β1 alone (no PFD) showed increased protein levels of α-SMA by day 2 and detectible α-SMA continued to increase over time (Fig. 2c, d). The lowest PFD dose, 0.1 mg/mL, initially did not reduce α-SMA production, instead appearing to stimulate protein production at days 2 and 3. This low dose displayed a delayed inhibitory response and only reduced α-SMA levels at day 5. The 0.5 mg/mL PFD dose delayed α-SMA protein expression until day 3 and maintained a low level of expression until day 5. Whereas, the highest PFD dose tested, 1.0 mg/mL, completely abolished detectible α-SMA protein at all times tested.
PFD reduces collagen production
Collagen I and III proteins were measured at multiple points of their biosynthesis pathway by immunocytochemistry and Western blot. Immunocytochemistry showed that TGF-β1 treatment increased intracellular collagen I over time (Fig. 3a, b). PFD treatment at 1.0 mg/mL abolished this effect by day 1. Surprisingly, neither TGF-β1 nor PFD treatment altered intracellular collagen III in this assay (Fig. 3e, f).
Western blot analysis showed TGF-β1 treatment significantly increased levels of collagen type I and type III detectible in the lysate/adherent collagen fraction within the first 24 h and in the soluble medium fraction by day 4 (Fig. 3). Only the 1.0 mg/mL PFD treatment is depicted in the Western blot results as the two lower doses of PFD (0.1 and 0.5 mg/mL) did not significantly affect collagen production (data not shown). In the soluble culture medium fraction, PFD treatment significantly reduced collagen I by day 5 (Fig. 3d). PFD caused a slight reduction of collagen I in the lysate/adherent collagen fraction but was not statistically significantly (Fig. 3c). Compared to the soluble media and lysate/adherent protein fractions, PFD treatment affected intracellular collagen production earlier and to a greater degree (Fig. 3a, b). Collagen III levels were significantly reduced in the culture medium by day 3 (Fig. 3h) and in the lysate/adherent fraction by day 1 (Fig. 3g).
PFD reduces F-actin stress fiber and super-mature focal adhesion complex development
As previously reported [36, 37], TGF-β1 stimulation caused an early shift (one day after TGF-β1 stimulation) of cytoplasmic globular actin into filamentous actin stress fibers. As very little α-SMA was expressed at this time point, the F-actin found one day after TGF-β1 treatment was likely composed mostly of other actin isoforms (e.g., β-actin). The relative abundance of F-actin was detected with fluorescently labeled phalloidin staining and quantification of mean fluorescent intensity per cell. Treatment with 0.5 mg/mL PFD significantly decreased the F-actin signal after two to four days of TGF-β1 treatment (Fig. 4a, b).
Large, super-mature focal adhesions that link contractile stress fibers to surrounding ECM were identified in TGF-β1 treated NHDF by immunocytochemistry staining for vinculin (Fig. 4c). Treatment with 0.5 mg/mL PFD reduced the TGF-β1 effect and such large complexes were not observed. To determine if PFD affected de novo focal adhesion formation, cells in complete media (FGM2) were pre-treated with or without 0.5 mg/mL PFD before plating onto chambered slides. No apparent differences in focal adhesion number or size were observed between treated and untreated cells at any of the measured times from 30 min to 6 h after plating (see images of cells fixed 30 min after seeding in Supplementary Figure S2).
PFD reduces migration rate of TGF-β1-treated NHDF
TGF-β1 treatment produced a dose-dependent increase in maximum impedance recovery (Fig. 5a). This measure indicated the aggregate effect of TGF-β1 on cell adhesion, spreading, and proliferation [38, 39]. The stimulatory effect of 10 ng/mL TGF-β1 was diminished in a dose-dependent manner by concurrent PFD treatment (Fig. 5b). Interestingly, the maximum impedance effects were also seen in unwounded samples (Supplementary Figure S3). In this data, an unperturbed confluent layer of cells was treated and showed both a dose-dependent increase in normalized impedance with TGF-β1 treatment and inhibition by PFD.
We next assayed the effects of PFD on cell migration rate via ECIS 2D wounding assays. After wounding caused impedance to drop to baseline levels, the time for each well to recover halfway to its pre-wound confluent monolayer impedance level was measured. This time increased significantly for the 1.0 mg/mL PFD treatment group indicating a reduced migration rate (note reduced slope of impedance trace in Fig. 5c).
PFD targets p38-MAPK signaling
Potential target(s) of PFD within TGF-β1 signaling pathways were identified using a preliminary antibody array screen. TGF-β1 activation of p38 MAP kinase was reduced in lysates treated with 0.5 mg/mL PFD (data not shown). To validate these results, we measured the effects of PFD on activated levels of the canonical TGF-β1 signaling mediator, SMAD2/3, and the non-canonical mediator, p38 MAPK (Fig. 6). The detectible level of phosphorylated-p38, normalized to total p38 protein, was significantly upregulated by TGF-β1 as early as 5 min and continued to increase throughout the duration of the experiment (5 and 15 min, Fig. 6a, 30 and 60 min data not shown). Treatment with PFD resulted in a dose-dependent reduction in phosphorylated p38 protein levels, similar to the reduction in phosphorylation seen in cells treated with the TAK1/p38 inhibitor, 5(Z)-7-oxozeaneol (Fig. 6a). The lowest PFD dose, 0.1 mg/mL, did not significantly reduce p38 activity until 15 min, whereas 0.5 and 1.0 mg/mL PFD reduced p38 activity at a statistically significant level at both 5 and 15 min post-stimulation. PFD inhibition of phosphorylated-p38 was not observed at later time points (30 and 60 min, data not shown). TGF-β1 stimulation upregulated SMAD2/3 phosphorylation which was completely inhibited by treatment with the type I TGF-β receptor inhibitor, SB505124, but not by PFD (Fig. 6b).
PFD inhibits profibrotic gene expression
Using a commercially available qRT-PCR primer array, we assayed the effect of PFD treatment on the TGF-β1-stimulated RNA expression profile of 84 fibrosis-related genes over time (0.5, 1, 2, 3 days after treatment). Of the 52 genes on the array with expression data that met the detection cut-off (Ct < 30), 33 were significantly regulated by TGF-β1 stimulation as compared to SFM controls (Fig. 7a, Supplementary Table S1). TGF-β1 stimulation caused an early and substantial induction of ACTA2 (α-SMA) RNA expression that preceded the protein expression induction determined via immunocytochemistry and Western blot (Fig. 2). TGF-β1-treated NHDF increased RNA expression of ACTA2 after 12 h of treatment and continued to show increased expression up to 25-fold higher than SFM control samples after three days (Fig. 7a, Supplementary Table S1). In addition, both collagen I and III showed small but statistically significant increases in RNA expression with TGF-β1 treatment compared to SFM samples (see COL1A2 and COL3A1, Fig. 7a).
Treatment with 0.5 mg/mL PFD significantly altered the expression of 13 TGF-β1-regulated genes (Fig. 7b, Supplementary Table S2). PFD reduced ACTA2 expression after three days of treatment (Fig. 7b, d, Supplementary Table S2). Of the remaining PFD-regulated genes, only connective tissue growth factor (CTGF) demonstrated a significant response to the 0.1 mg/mL PFD (downregulated, data not shown). For matrix metalloproteinase 1 (MMP1), the TGF-β1 inhibition was reversed by PFD treatment. The other PFD-regulated genes were upregulated by TGF-β1 and treatment with PFD decreased this effect. The PFD-regulated genes fell into four categories: TGF-β signaling (TGFB2, TGFB3, and TGFBR1), focal adhesion components (ITGA3, ITGB1, ILK), ECM remodeling (MMP1, TIMP3), and other markers of fibrosis (GREM1, SERPINE1, THBS1, ACTA2, and CTGF). The strongest effects for MMP1, GREM1, ITGA3, and ACTA2 were seen after three days of treatment (Fig. 7b, d). Some of the other PFD-modulated genes showed a stronger response one day (TIMP3) or two days after treatment (TGFB2, THBS1, and CTGF). Neither COL1A2 nor COL3A1 showed significant changes in expression with the PFD doses and times assayed (0.1 and 0.5 mg/mL PFD, 0.5–3 days after treatment, Supplementary Table S2). Validation qRT-PCR reactions were run for eight of the PFD-regulated genes as well as COL1A2 and COL3A1, all of which confirmed the array results (Fig. 7c, d; COL1A2 and COL3A1 validation data not shown).
Discussion
In response to the need for an effective therapeutic for dermal fibrosis [1, 2, 4, 6], we assessed the in vitro antifibrotic effects of PFD on human dermal myofibroblasts. The findings of this study support PFD as a promising pharmacological agent that potently inhibits the development of fibrogenic dermal myofibroblast cells.
One feature of fibrosis is the continued proliferation of fibroblasts in the wound bed [1, 2, 4]. TGF-β1 stimulates proliferation during both in vivo wound healing and in cultured monolayers of adult NHDF [8,9,10,11,12]. Previous studies demonstrated that PFD treatment arrests cells in G1 and inhibits cell proliferation in human Tenon’s fibroblasts [40, 41] and murine mesenchymal stem cells [42]. Our results with dermal fibroblasts confirmed that PFD reduces TGF-β1-stimulated cell proliferation in a dose-dependent manner. We verified that the observed reduction in proliferation was not the result of PFD-induced apoptosis (Supplementary Figure S1). PFD treatment given at different times relative to TGF-β1 remained effective and demonstrated the sustained potency of the drug. This supports preliminary clinical data for PFD used as either a prophylactic treatment to profibrotic injury (perioperative with surgery [24, 43]) or as a post-treatment (anti-scar therapeutic [26]). The observed PFD inhibition of cell proliferation may be mediated through its effects on CTGF. TGF-β1-stimulated proliferation is CTGF-dependent [8] and we found that PFD reduced the TGF-β1-stimulated upregulation of CTGF RNA expression.
TGF-β1 drives normal fibroblast differentiation into profibrotic α-SMA+ myofibroblast cells [8,9,10,11,12]. PFD delayed and inhibited TGF-β1-induced myofibroblast differentiation by reducing the expression of α-SMA at both the RNA and protein levels. With 1.0 mg/mL PFD treatment, no α-SMA protein was detectible. The 0.5 mg/mL PFD dose effectively delayed the fibroblast-to-myofibroblast transition. Immunocytochemistry experiments visually confirmed this finding as PFD treatment delayed initial α-SMA+ myofibroblast detection from day 2 to day 3.
Fully differentiated myofibroblasts are highly contractile cells that remodel surrounding ECM. This occurs through intracellular actomyosin contractions of F-actin stress fibers connected via focal adhesions to extracellular collagen and other matrix proteins [44]. PFD treatment inhibited each component in this mechanoregulatory system. PFD treatment reduced F-actin accumulation into stress fibers, prevented the development of large super-mature focal adhesions, and inhibited collagen protein production. Additionally, PFD treatment downregulated RNA expression of the focal adhesion components α3 and β1 integrin. These integrin subunits are associated with myofibroblast differentiation and blocking either one of them can prevent myofibroblast differentiation [45].
Data from ECIS measurements confirmed that PFD treatment inhibited myofibroblast differentiation and reduced cell migration. In a dose-dependent manner, PFD reduced the maximum impedance achieved by TGF-β1-stimulated cells. In this system, electrical impedance is an aggregate measure of cell morphology, substrate adhesion, and proliferation, thus our ECIS measurements confirm the results obtained from confocal imaging, focal adhesion immunocytochemistry, and WST-1 assays. PFD treatment also slowed the rate of cell migration. Due to the slow proliferation rate of NHDF (>24 h doubling time), it is unlikely that the impedance dynamics of migration (measured <12 h after wounding) are confounded by the effects of any cell proliferation. Reduced cell migration can affect more than cell infiltration into a wound bed; it may also inhibit ECM contraction. Fibroblast migration through collagen ECM has been shown to contribute to matrix contraction and remodeling [44].
Differentiated myofibroblasts contribute to excessive ECM accumulation in dermal fibrosis by upregulating collagen production and reducing collagen turnover. TGF-β1 decreases expression of matrix metalloproteinases and increases tissue inhibitor of metalloproteinases (TIMP). In our in vitro model, PFD inhibits the effect of TGF-β1 by increasing MMP1 gene expression and reducing that of TIMP3, which may allow for increased collagen turnover. PFD modulation of ECM production may occur in part through its inhibition of CTGF gene expression. CTGF has been shown to stimulate collagen production and can mediate TGF-β1-induced ECM synthesis [46]. The qRT-PCR array results also found significant changes to the fibrosis related gene GREM1. GREMLIN1 is a bone morphogenetic protein (BMP) 4 antagonist that is associated with fibrotic tissue, is upregulated by TGF-β1, and reduces BMP4 inhibition of ECM production [47]. PFD inhibits the TGF-β1 induced expression of GREM1, which may have the downstream effect of reducing ECM production.
Dermal fibrosis is associated with excessive collagen production and disorganized extracellular fibril bundle assembly [1,2,3]. In vitro studies of collagen biosynthesis are a useful first step when investigating antifibrotic agents, although culture conditions such as cell density and availability of ascorbic acid can alter both collagen production and the rate of its secretion [48,49,50,51]. Previous in vitro studies in various cell types and disease models demonstrated that PFD can affect collagen protein production [52], fibril assembly [53], or extracellular collagen production [54]. Our results in dermal fibroblasts support the inhibitory effects of PFD on collagen production reported in other test models. Here, PFD treatment resulted in a clear inhibition of TGF-β1-induced collagen I and III production, although there were some differences in the kinetics and magnitude of detectible collagen between the different compartments measured. This could reflect differential effects of PFD on individual compartments along the collagen biosynthetic pathway and/or the contribution to collagen production and secretion of specific culture conditions used between detection techniques. Additionally, the lack of PFD effects on collagen types I and III in qRT-PCR experiments indicates that, in this system, PFD regulates collagen protein biosynthesis rather than transcription.
TGF-β1 activation of its surface receptor complex results in activation of both canonical, SMAD-mediated, and non-canonical, SMAD-independent, signaling cascades. In the canonical TGF-β1 signaling pathway, the SMAD2/3 protein complex is phosphorylated upon TGF-β1 activation of its receptor complex and translocates to the nucleus where it interacts with other transcription factors to regulate transcriptional responses [55]. Our data clearly showed an upregulation of phosphorylated SMAD2/3 in response to TGF-β1 stimulation, although PFD did not affect this response at any dose or time tested (0.1, 0.5, or 1.0 mg/mL from 5 to 60 min after TGF-β1 stimulation). This contrasts previous findings of PFD inhibition of SMAD phosphorylation in TGF-β1-stimulated human lung fibroblasts and Dupuytren’s disease-derived fibroblasts [27, 52]. This difference in PFD action may be due to differences in fibroblasts sourced from different tissues, disease states, and in vitro culture systems [56,57,58].
Non-canonical TGF-β1 signaling occurs through a number of pathways including those of MAP kinase family members: p38, JNK, and ERK1/2. MAPK signaling coordinates numerous cell responses by activating substrate proteins involved in transcription, translation, and cell processes such as proliferation, migration, apoptosis, and structural cytoskeletal changes [59]. Previous studies of PFD effects on MAPK signaling report conflicting findings [40, 60,61,62,63,64,65,66,67,68]. However, there is strong evidence for p38 as a primary effector of PFD function. Direct interaction of PFD with purified p38 kinase modulates p38 kinase activity [61] and PFD-treated pulmonary fibroblasts show reduced p38 activation [52, 62]. We demonstrated PFD inhibition of p38 activity in a dermal system and observed a dose-dependent reduction in phosphorylated p38 within five minutes of TGF-β1 stimulation. The inhibitory effects of PFD were potent but transient as the PFD effect to p38 activation was lost after 30 min. Our data did not clarify whether PFD acted directly on p38 to inhibit its phosphorylation or on an upstream member of the relevant MAPK pathway, e.g., TAK1. Additional studies will help determine if PFD directly interacts with p38 or whether PFD activity targets upstream and/or adjacent signaling pathways.
In total, these results strongly support PFD as a promising antifibrotic agent for prophylaxis and treatment of dermal fibrosis. In normal human dermal fibroblasts, PFD inhibits fibrogenic signals of TGF-β1 by abrogating p38-mediated MAPK activation, regulating transcription of profibrotic genes, and blocking myofibroblast differentiation. In accordance with previous studies conducted using non-dermal fibroblasts (Lin et al. [41]), PFD treatment of normal human dermal fibroblasts in the absence of TGF-β1 also demonstrated significant inhibitory effects in proliferation and ECIS assays (data not shown). Future research into the mode of action by which PFD affects in vivo wound healing and fibroproliferative disorders of the skin is needed to fully validate the effectiveness of PFD as a topical antifibrotic agent.
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Acknowledgements
We would like to acknowledge Dr. James Aden for lending statistical analysis expertize and consultation. We also thank Dr. Exing Wang for assistance with image analysis techniques. This work was supported in part through the Congressionally Directed Medical Research Programs, U.S. Army Medical Research and Materiel Command W81XWH-15-2-0083 and the Naval Medical Research Center’s Advanced Medical Development program (MIPR N3239815MHX040).
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Study design, data acquisition/analysis, and manuscript preparation was done in equal part by CLH and ARW. KPL originated the concept of the study and participated in the design of this study.
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Hall, C.L., Wells, A.R. & Leung, K.P. Pirfenidone reduces profibrotic responses in human dermal myofibroblasts, in vitro. Lab Invest 98, 640–655 (2018). https://doi.org/10.1038/s41374-017-0014-3
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DOI: https://doi.org/10.1038/s41374-017-0014-3
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